System and method of discovering a network asset from a network sample
The method automates the discovery of computer network assets by analyzing sampled network traffic to identify and classify assets based on traffic volume, addressing the inefficiencies of manual methods and improving network management through anomaly detection.
Patent Information
- Application Number
- US18/346803
- Authority / Receiving Office
- US · United States
- Patent Type
- Patents(United States)
- Current Assignee / Owner
- Priority Date
- 2022-07-06
- Filing Date
- 2023-07-04
- Publication Date
- 2025-03-25
- Estimated Expiration
- 2043-07-04
AI Technical Summary
Current methods for discovering computer network assets are time-consuming and inefficient, relying on manual analysis of network traffic and maintenance of architecture diagrams and spreadsheets.
A method and system that utilize a processor to identify IP addresses in sampled network traffic, determine traffic volumes associated with specific ports, and dynamically threshold to detect asset types by exceeding predetermined thresholds, adding discovered assets to a list, while also detecting anomalies in communication patterns.
This approach automates the discovery of computer network assets, reducing time and effort by identifying assets based on traffic volume exceeding dynamic thresholds, and detecting anomalies in communication patterns, thereby enhancing the efficiency of asset identification and network management.